These four steps are performed either a preset number of times or until reaching given optimization objectives. The main obstacle to implementing this scheme is that GCNNs do not naturally return the uncertainties that evaluation of the acquisition function requires. We overcome it using either MC-Dropout [1]} or Deep Ensembles [2]}, as described below.
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